Triple

T7822465
Position Surface form Disambiguated ID Type / Status
Subject Kibushi E181163 entity
Predicate hasLinguisticArea P17400 FINISHED
Object Southwest Indian Ocean linguistic area
The Southwest Indian Ocean linguistic area is a region encompassing parts of Madagascar and nearby islands where diverse languages, including Bantu and Austronesian varieties, have converged and influenced one another through prolonged contact.
E695124 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Southwest Indian Ocean linguistic area | Statement: [Kibushi, hasLinguisticArea, Southwest Indian Ocean linguistic area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southwest Indian Ocean linguistic area
Context triple: [Kibushi, hasLinguisticArea, Southwest Indian Ocean linguistic area]
  • A. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • B. Guadalcanal linguistic area
    The Guadalcanal linguistic area is a region on the island of Guadalcanal in the Solomon Islands characterized by a cluster of related and interacting Oceanic languages that share common structural and lexical features.
  • C. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • D. Melanesian linguistic area
    The Melanesian linguistic area is a region in the southwest Pacific characterized by a diverse mix of Oceanic and Papuan languages that share many structural features due to long-term contact and interaction.
  • E. Warumungu language area
    The Warumungu language area is the traditional linguistic and cultural region of the Warumungu people in the Tennant Creek area of the Northern Territory, Australia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Southwest Indian Ocean linguistic area
Triple: [Kibushi, hasLinguisticArea, Southwest Indian Ocean linguistic area]
Generated description
The Southwest Indian Ocean linguistic area is a region encompassing parts of Madagascar and nearby islands where diverse languages, including Bantu and Austronesian varieties, have converged and influenced one another through prolonged contact.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southwest Indian Ocean linguistic area
Target entity description: The Southwest Indian Ocean linguistic area is a region encompassing parts of Madagascar and nearby islands where diverse languages, including Bantu and Austronesian varieties, have converged and influenced one another through prolonged contact.
  • A. Sulawesi linguistic area
    The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
  • B. Guadalcanal linguistic area
    The Guadalcanal linguistic area is a region on the island of Guadalcanal in the Solomon Islands characterized by a cluster of related and interacting Oceanic languages that share common structural and lexical features.
  • C. Remote Oceania linguistic area
    The Remote Oceania linguistic area is a region of the Pacific characterized by closely related Oceanic languages spoken across widely dispersed island groups such as Polynesia, Micronesia, and parts of eastern Melanesia.
  • D. Melanesian linguistic area
    The Melanesian linguistic area is a region in the southwest Pacific characterized by a diverse mix of Oceanic and Papuan languages that share many structural features due to long-term contact and interaction.
  • E. Warumungu language area
    The Warumungu language area is the traditional linguistic and cultural region of the Warumungu people in the Tennant Creek area of the Northern Territory, Australia.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14a526cc8190a8b1a3179f75ad6c completed March 31, 2026, 12:26 a.m.
NEDg Description generation batch_69cb1734159881909590ed51e8920387 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a6fc16c8190827593f58b9d742d completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:41 p.m.